Are we confident that final‐year medical students know at least basics about diabetes?: A preliminary report from the multicenter, survey‐based Diabetes Know‐Me study

Abstract Background We present the results of the pilot study of a multinational “Diabetes Know‐Me” project investigating knowledge regarding diabetes of medical students. This is the first collaborative project of the ISPAD JENIOUS group. Methods Students of the final year of medical studies from six countries answered a 25‐question survey regarding basic knowledge concerning diabetes (1091 surveys handed out, response rate 86%). Results Among the responders (58% female) 90% confirmed attending diabetology classes; 11% planned to specialize in diabetology. There were significant differences between countries in the median score of correct answers ranging from 10/25 to 22/25. Attending diab…

Telemedicine and COVID-19 pandemic: The perfect storm to mark a change in diabetes care. Results from a world-wide cross-sectional web-based survey

Abstract Background Telemedicine for routine care of people with diabetes (PwD) during the COVID‐19 pandemic rapidly increased in many countries, helping to address the several barriers usually seen. Objective This study aimed to describe healthcare professionals' (HCPs) experience on telemedicine use in diabetes care and investigate the changes and challenges associated with its implementation. Methods A cross‐sectional electronic survey was distributed through the global network of JENIOUS members of ISPAD. Respondents' professional and practice profiles, clinic sizes, their country of practice, and data regarding local telemedicine practices during COVID‐19 pandemic were investigated. Re…

Continuous glucose monitoring use and glucose variability in very young children with type 1 diabetes (VibRate): A multinational prospective observational real-world cohort study

While data on the efficacy and safety of continuous glucose monitoring (CGM) exist across a broad age spectrum, it is limited in very young children with type 1 diabetes (T1D). We aimed to assess real-world data in this high-risk population, focusing on glycemic variability and metrics beyond HbA1c. A 12-month multi-national, prospective, observational, registry-based cohort study in children with T1D aged 1-7 years compared glucose control using real-time CGM and using fingerstick blood glucose monitoring (BGM) alone. The prespecified primary endpoint was a difference in coefficient of variation (CV) between the CGM users and BGM-only cohort. Among 227 individuals using insulin pumps (42% …

The automated pancreas: A review of technologies and clinical practice

Insulin pumps and glucose sensors are effective in improving diabetes therapy and reducing acute complications. The combination of both devices using an algorithm-driven interoperable controller makes automated insulin delivery (AID) systems possible. Many AID systems have been tested in clinical trials and have proven safety and effectiveness. However, currently, none of these systems are available for routine use in children younger than 6 years in Europe. For continued use, both users and prescribers must have sound knowledge of the features of the individual AID systems. Presently, all systems require various user interactions (e.g. meal announcements) because fully automated systems ar…

Proceedings of 21st ISPAD science school for physicians 2022.

A Worldwide Perspective on COVID-19 and Diabetes Management in 22,820 Children from the SWEET Project: Diabetic Ketoacidosis Rates Increase and Glycemic Control Is Maintained

Aims: To investigate the short-term effects of the first wave of COVID-19 on clinical parameters in children with type 1 diabetes (T1D) from 82 worldwide centers participating in the Better Control in Pediatric and Adolescent DiabeteS: Working to CrEate CEnTers of Reference (SWEET) registry. Materials and Methods: Aggregated data per person with T1D £21 years of age were compared between May/June 2020 (first wave), August/September 2020 (after wave), and the same periods in 2019. Hierarchic linear and logistic regression models were applied. Models were adjusted for gender, age-, and diabetes duration-groups. To distinguish the added burden of the COVID-19 pandemic, the centers were divided…